Modern Artificial Intelligence and Data Science: Tools, Techniques and Systems

Preface
Contents
About the Editor
Artificial Intelligence and  Recommendation Systems
TopKWS Algorithm in the Map-Reduce Paradigm for Cloud Computing QoS Recommendation System
1 Introduction
2 Related Works
2.1 The Use of MCDA in Recommender System
2.2 Map-Reduce and Big Data Architecture
3 Our Contribution: MRTopkws Algorithms
4 Results and Discussion
5 Conclusion
References
A New Context-Based Factorization Machines for Context-Aware Recommender Systems
1 Introduction
2 Related Works
3 Proposed Model
3.1 Factorization Machines
3.2 Context Based Factorization Machines (CBFM)
4 Experiments
4.1 Datasets
4.2 Comparisons
4.3 Results and Discussion
5 Conclusion
References
Review of Recommendation Systems and their Applications in E-learning
1 Introduction
2 Overview of Recommendation Systems
2.1 Definitions of Recommendation Systems
2.2 Types of Recommendation Systems
2.3 Advantages and Disadvantages of Each Type of RS
3 E-learning Recommendation Systems
4 Discussion
5 Conclusion and Future Work
References
Improvement of Courses Recommendation System using Divide and Conquer Algorithm
1 Introduction
2 Background
2.1 Recommendation Systems
2.2 Divide-and-Conquer Algorithm
3 Problematic Statement
3.1 Research Methodology
4 Related Work
5 Proposed Approach
6 Experiment Results and Discussion
6.1 Used Datasets
6.2 Results and Discussion
7 Conclusion and Future Work
References
Deep Reinforcement Learning in Financial Markets Context: Review and Open Challenges
1 Introduction
1.1 Markov Decision Process Formalism
1.2 Types of Rinforcement Learning Algorithms
1.3 Policy and Value Functions
1.4 Multi-Agent Reinforcement Learning
2 Financial Markets
3 Financial Markets Open Challenges for RL
3.1 Market Making
3.2 Portfolio Allocation and Optimization
3.3 Optimal Trade Execution
3.4 Decision-Making in Trading
4 Related Works and Discussions
4.1 Market Making
4.2 Portfolio Allocation and Optimization
4.3 Optimal Execution
4.4 Decision-Making in Trading
5 Conclusion
References
A Survey of Parallel Computing: Challenges, Methods and Directions
1 Introduction
2 Background
2.1 Partitioning
2.2 Granularity
2.3 Scheduling
3 Parallel Architectures
3.1 Levels of Parallelism
3.2 Definitions
3.3 Principle
4 Advantages and Difficulties of Parallelism
4.1 Advantages
4.2 Difficulties
5 Sequential Architectures
5.1 From Sequential to Parallelism
6 Classification of Parallel Architectures
6.1 Flynn’s Classification
6.2 Architecture MIMD
7 Performance Analysis
7.1 The Acceleration Factor (Speedup)
7.2 Efficiency
8 Experimental Study of Parallel Algorithms
8.1 Paralleled K-Nearest Neighbors Algorithm
8.2 Paralleled Topkws Algorithm
9 Conclusion
References
A Bi-LSTM Neural Network to Forecast Stock Market Index
1 Introduction
2 Related Work
2.1 Statistical Techniques
2.2 Machine Learning Techniques
2.3 Deep Learning Techniques
3 Methodology
3.1 Dataset
3.2 Our Model
4 Experimental Results
4.1 Model Performance
4.2 Model Evaluation
4.3 Model Comparison
4.4 Model Parameters
5 Conclusions
References
Artificial Intelligence and Advanced Technologies
Fast Yolo V7 Based CNN for Video Streaming Sea Ship Recognition and Sea Surveillance
1 Introduction
2 Yolov7 Based Ship Recognition
3 Experimental Results
3.1 Experimental Environment
3.2 Dataset
3.3 Ship Detection Performance Indicators
3.4 Results Analysis
4 Conclusion
References
Graph Convolutional Network for Multilingual Sentiment Analysis
1 Introduction
2 Related Works
3 The Proposed Method
3.1 Heterogeneous Text Graph Construction
3.2 Graph Convolutional Network
4 Experiments
4.1 Datasets
4.2 Baselines
4.3 Experiment Settings
4.4 Results Analysis
5 Conclusion and Future Works
References
Predicting Blood Glucose Levels in Type 1 Diabetes Using LSTM
1 Introduction
2 Related Works
3 Methodology
4 Comparison with Some Other Previous Works
5 Conclusion
References
Sarcasm Detection on Social Media using Machine Learning Approach
1 Introduction
2 Previous Work
3 Methodology
3.1 Data Preprocessing
3.2 Sarcasm Detection Classifiers
4 Results
5 Conclusion and Future Work
References
School Dropout Prediction using Machine Learning Algorithms
1 Introduction
2 Proposed Solution and Approach
3 Data Collection and Analysis
4 Results and Interpretation
5 Implementation
6 Conclusion
References
Survival Prediction in Patients with Nasopharyngeal Cancer Using some Machine Learning Methods
1 Introduction
2 Nasopharyngeal Cancer
3 Technical Study
4 Results
5 Conclusion
References
Comparative Analysis of Skyline Algorithms used to Select Cloud Services Based on QoS
1 Introduction
2 Related Work
3 QoS Modelling
4 Skyline Algorithms for Service Selection
4.1 The BNL Algorithm
4.2 The SFS Algorithm
4.3 The BBS Algorithms
5 Experimentation and Results
6 Conclusion
References
Artificial Intelligence Applied to Blockchain and IoT
A State-of-the-Art Survey on Ransomware Detection using Machine Learning and Deep Learning
1 Introduction
2 A Brief History of Ransomware
3 How Ransomware Works?
4 Literature Review
5 Research Direction
6 Conclusion
References
Improving the Application of Blockchain Technology for Tracking Processes in the Supply Chain Integrated Business Intelligence
1 Introduction
2 Methodology
3 Literature Review
4 Discussion and Results
5 Conclusion
References
Studying Consensus Mechanisms for Blockchain
1 Introduction
2 Popular Consensus Protocols
3 Alternative Protocols
4 Discussion
5 Consensus Comparison
6 Conclusions
References
Design and Construction of a Smart Agricultural Greenhouse
1 Introduction
2 Hardware Tools Used in the Greenhouse
3 Realization and Implementation of Our Greenhouse
4 Conclusion and Perspectives
References
Implementation and Management of a Home Automation Control System (Smart Home)
1 Introduction
2 Problematic
3 Approach and Methodology
4 Functional and Technical Study
5 Realization and Tests
6 Building the House
7 Application Interfaces
8 Conclusion
References
A Comparative Study of Consensus Algorithms Used in Blockchain and Their Adaptation to the IoT Networks
1 Introduction
2 An Overview on Blockchain Technology
3 An Overview on IoT
4 Blockchain for IoT Networks
5 Consensus Algorithms
6 Open Research Challenges
7 Conclusion
References
Artificial Intelligence Applied to Some Academic and Real Problems
Dynamics Behavior of Vehicular Traffic Flow in a Scale-Free Complex Network
1 Introduction
2 Model and Method
2.1 Barabasi-Albert Model
2.2 Vehicular Traffic Model
3 Results and Discussion
3.1 Network of Three Nodes
3.2 Network of Four Nodes
3.3 Network of n Nodes
4 Conclusion and Perspectives
References
Customer Journey Map Discovery Approach
1 Introduction
2 Basic Concept
2.1 Customer Journey and Customer Journey Map
2.2 Configurable Process Mining Discovery
3 Related Work
4 Proposed Discovery Approach Using Configurable Process Mining
5 Conclusion
References
Unmanned Aerial Vehicle-Assisted Clustered Wireless Sensor Network Data Collection Efficiency Improvement
1 Introduction
2 Related Work
3 System Model
4 Problem Formulation
5 Proposed Approach
5.1 Nodes Clustering in Wireless Sensor Networks
5.2 Trajectory Planning
6 Numerical Results & Discussion
7 Conclusion
References
Synergistic Fibroblast Optimization Algorithm for Solving Knapsack Problem
1 Introduction
2 Literature Review
3 Description of SFO to Solve Combinatorial Optimization Problems
3.1 Sample Generation
3.2 Individual Assessment
3.3 Check the Stopping Criterion
4 Experimental Settings and Numerical Examples
5 Conclusion and Future Works
References
Acceptance of Job Access with Speech (Jaws) as an Assistive Computer Application Software
1 Introduction
1.1 Research Objective
1.2 Research Questions
2 Methodology
2.1 Criteria for Inclusion and Exclusion
3 Background and Theoretical Examination of Jaws as an Assistive Computer Application Software
3.1 Effects of Perceived Ease of Use on TVET Educators’ and SWVIs Acceptance of Jaws in Teaching and Learning of Computer Practice
3.2 Effects of Perceived Usefulness on TVET Educators’ and SWVIs Acceptance of Jaws in Teaching and Learning of Computer Practice
3.3 Effects of Self-Efficacy on TVET Educators’ and SWVIs Acceptance of Jaws in Teaching and Learning of Computer Practice
4 Limitations
5 The Conclusion and Potential Contribution
6 Future Work
References
Experimenting with Polymorphic Creativity Support Tools to Support Innovation in Participatory Ideation
1 Introduction
1.1 Polymorphic Creativity Support Tools
1.2 Background
2 Related Work
3 Research Methodology
3.1 Participants
3.2 Procedure
4 Analysis and Results
5 Discussions and Implications
6 Conclusions and Future Work
References